L'Ontario a mis en place un ensemble exhaustif de mesures et de reglements qui contribuent a assurer la securite et la salubrite de l'eau potable.

L'ensemble de donnees qui suit contient des informations sur les reseaux d'eau potable, les laboratoires et les installations qui, sous la responsabilite du ministère de l’Environnement, de la Protection de la nature et des Parcs, doivent s'assurer de la conformite de l'eau potable avec les lois de l'Ontario.

Ces donnees contiennent des informations portant sur :

• le nombre et les types de
• insatisfaisants pour la qualite de l'eau potable;
• les activites visant a soutenir la reduction du plomb dans l'eau potable;
• les activites d'application des reglements en rapport avec les inspections;
• les arretes et systemes et laboratoires designes;
• les resultats des analyses de qualite de l'eau realisees;
• resultats les condamnations;
• l'agrement des exploitants de systeme.

Flaques D'eau V2

## Overview

Flaques D'eau V2 is a dataset for object detection tasks - it contains Flaques annotations for 573 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

About this dataset

Context

The dataset tabulates the population of Eau Claire by race. It includes the population of Eau Claire across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Eau Claire across relevant racial categories.

Key observations

The percent distribution of Eau Claire population by race (across all racial categories recognized by the U.S. Census Bureau): 86.87% are white, 1.32% are Black or African American, 0.39% are American Indian and Alaska Native, 5.81% are Asian, 0.14% are Native Hawaiian and other Pacific Islander, 0.78% are some other race and 4.69% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Eau Claire
• Population: The population of the racial category (excluding ethnicity) in the Eau Claire is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Eau Claire total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Eau Claire Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Unemployment Rate in Eau Claire, WI (MSA) (EAUC755URN) from Jan 1990 to Jan 2025 about Eau Claire, WI, unemployment, rate, and USA.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Eau Claire, MI, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Eau Claire, MI reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Eau Claire households based on income levels.

Key observations

• For Family Households: In Eau Claire, the majority of family households, representing 23.71%, earn $125,000 to $149,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $125,000 to $149,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Eau Claire, the majority of non-family households, accounting for 16.83%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $125,000 to $149,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Eau Claire, MI (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Eau Claire, MI
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Eau Claire, MI
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Eau Claire, MI

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Eau Claire median household income. You can refer the same here

Graph and download economic data for Unemployment Rate in Eau Claire County, WI (LAUCN550350000000003A) from 1990 to 2023 about Eau Claire County, WI; Eau Claire; WI; unemployment; rate; and USA.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Eau Claire County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Eau Claire County, the median income for all workers aged 15 years and older, regardless of work hours, was $46,410 for males and $31,423 for females.

These income figures highlight a substantial gender-based income gap in Eau Claire County. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the county of Eau Claire County.

- Full-time workers, aged 15 years and older: In Eau Claire County, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,592, while females earned $47,623, leading to a 23% gender pay gap among full-time workers. This illustrates that women earn 77 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Eau Claire County.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Eau Claire County median household income by race. You can refer the same here

L’enquête sur l’eau et l’assainissement 2008 a été réalisée fin 2009 – début 2010 auprès d’un échantillon de 5 215 communes. L'enquête étudie les services publics de l’eau sous divers aspects : les prix pratiqués, l’existence et la qualité des services rendus, l’organisation et la gestion des services, ainsi que les équipements nécessaires à leur bon fonctionnement.

474 Global import shipment records of Eau with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Emprises des voies d'eau - bief - écluse - bassin - embranchement - espace de service.Le Plan de Voirie de Paris : Le Plan de Voirie de Paris (PVP) est destiné à l'instruction technique des projets sur la voie publique, conformément au règlement de voirie en vigueur. Chaque objet de l'espace public est représenté par un symbole référencé dans la charte graphique topographique. Le système de cordonnées planimétriques d’origine du PVP est le Lambert I-54 (Ville de Paris), re- projeté en RGF93.CC49 puis en RGF93 – Lambert 93 (WKID 2154) dans le système d’information de la Ville, puis dans le système de coordonnées international WGS84 Web Mercator Auxiliary Sphere (WKID 3857). Pour cette raison, les données ici présentent ne peuvent pas faire l’objet de travaux topographiques. Les mises à jour du Plan de Voirie sont désormais établies directement dans le système de coordonnées légal : NGF.IGN69 en altimétrie et RGF93.CC49 en planimétrie. Conformément au règlement de voirie, tous les intervenants sur le domaine public sont tenus de transmettre leurs plans de récolement à la Division des Plans de Voirie (DPV) dans un délai maximum de 21 jours ouvrés après l'achèvement des travaux. La DPV met à jour les plans de voirie en fonction du retour de ces informations. Le volume des transformations de l’espace public ces dernières années ne permet de garantir la mise à jour exhaustive des 60 couches de données thématiques sur la totalité du territoire parisien.

Dans le cadre d’un projet localisé, impactant le domaine de voirie (Occupation du domaine public – CITé), les données PVP peuvent être obtenus auprès du Bureau de la diffusion de la Division des Plans de Voirie par messagerie à l’adresse suivante : pvp.dvd@paris.fr.

Résultats du contrôle sanitaire de l'eau du robinet: prélèvements et résultats des analyses réalisés dans le cadre du contrôle sanitaire réglementaire des eaux fournies par un réseau de distribution. Fréquence de mise à jour : mensuelle, avec une annualisation des données à N+1. L’alimentation en eau potable Le réseau public d’eau potable dessert aujourd’hui la quasi-totalité de la population française, qu’elle habite en milieu urbain ou rural. L’eau du robinet est produite à partir d’eau prélevée par un captage dans une nappe souterraine ou dans une ressource superficielle d’eau douce (fleuves, rivières, canaux, lacs, barrages) ou d’eau de mer. Selon la qualité de l’eau prélevée, différentes étapes de traitement peuvent être nécessaires pour rendre l’eau potable et maintenir sa qualité dans les installations de stockage (réservoirs, châteaux d’eau) et dans les réseaux de distribution, jusqu’au robinet du consommateur. Les captages d’eau En France, près de 33 500 captages sont utilisés pour l’alimentation en eau potable. 96% des captages prélèvent de l’eau dans les nappes souterraines. Beaucoup moins nombreux (environ 1 300), les captages d‘eaux superficielles (cours d’eau, lacs…) représentent pourtant un tiers environ des volumes d’eau captés. Le traitement des eaux La quasi-totalité des eaux prélevées dans le milieu naturel subit un traitement, plus ou moins poussé, avant d’être distribuée à la population. Ce traitement vise un double objectif : l’élimination des agents chimiques ou biologiques susceptibles de constituer un risque à court, moyen ou long terme pour la santé des consommateurs, le maintien de la qualité de l’eau tout au long de son transport, jusqu’au robinet du consommateur. Les traitements dépendent de la qualité de l’eau brute : d’une simple désinfection pour les eaux souterraines bien protégées par leur profondeur et la nature géologique des terrains traversés, à des traitements plus poussés (prétraitements, coagulation, floculation, procédés d’affinage, désinfection) pour les eaux superficielles ou des eaux souterraines moins bien protégées. La distribution de l’eau L’eau issue des installations de production d’eau potable est acheminée jusqu’au lieu de consommation par un ensemble d’installations de distribution (canalisations, réservoirs, surpresseurs, etc). L’unité de distribution (UDI) correspond à un ensemble de canalisations de distribution de l’eau potable au sein duquel la qualité de l’eau délivrée est considérée comme homogène. Tous les abonnés raccordés au réseau public d’eau potable sont ainsi associés à une UDI. La France compte plus de 25 300 unités de distribution. Le contrôle de la qualité de l’eau du robinet L’eau du robinet est en France l’aliment le plus contrôlé. Elle fait l’objet d’un suivi sanitaire permanent, destiné à en garantir la sécurité sanitaire, depuis le captage dans le milieu naturel, jusqu’au robinet du consommateur. Le suivi sanitaire de l’eau comprend à la fois : la surveillance exercée par la personne responsable de la production et distribution de l’eau (PRPDE), le contrôle sanitaire, mis en œuvre par les Agences Régionales de Santé (ARS) en application des dispositions de la Directive européenne 98/83/CE relative à la qualité des eaux destinées à la consommation humaine et du Code de la santé publique. Les programmes de contrôle portent sur des paramètres microbiologiques, physico-chimiques ou radiologiques, afin de s’assurer que les eaux sont conformes aux exigences de qualité réglementaires et ne présentent pas de risque pour la santé des consommateurs. Les prélèvements et analyses sont réalisés par des laboratoires agréés pour le contrôle sanitaire des eaux par le Ministère chargé de la santé, et retenus par les Agences régionales de santé après mise en concurrence. Le contrôle sanitaire donne lieu chaque année à la réalisation de plus de 300 000 prélèvements d’eau et de l’ordre de 12 millions d’analyses. L’ensemble des résultats des analyses réalisées dans le cadre du contrôle sanitaire de l’eau du robinet mis en œuvre par les ARS est géré depuis 1994 dans la base de données nationale du Système d’Information en Santé-Environnement « SISE-Eaux d’alimentation » du Ministère chargé de la santé. Les données de la base « SISE-Eaux » sont fréquemment exploitées à différentes échelles géographiques et temporelles pour répondre aux besoins des ARS, du Ministère en charge de la santé, et aux demandes de leurs partenaires respectifs. En particulier, cette base alimente le portail national d’accès aux données sur les eaux souterraines (ADES) géré par le Bureau de recherches géologiques et minières (BRGM), ainsi que divers services du Système d’Information sur l’Eau (SIE, voir le site eaufrance.fr), dont les indicateurs relatifs aux services publics de l’eau et de l’assainissement (SISPEA). Descriptif des données mises à disposition Les données sont extraites de la base nationale SISE-Eaux. Elles correspondent aux prélèvements analysés dans le cadre du programme de contrôle sanitaire des ARS, ou des recontrôles ou contrôles complémentaires associés sur toutes les installations (captages, traitement, unités de distribution) concourant à la fourniture d’eau via un réseau de distribution. Les prélèvements extraits sont complets (validés par les ARS) et considérés comme représentatifs. Le jeu de données se compose de deux types de fichiers : celui des prélèvements (PLV) et celui des résultats d’analyse (RESULT), le lien entre les deux fichiers se faisant par l’intermédiaire du code du prélèvement (champ ‘referenceprel’). Ces deux types de fichiers sont renseignés distinctement sur les trois types d’installations concernées par le contrôle sanitaire : les installations de ressource en eau ou captages (CAP), les installations de traitement, de production et de transport de l’eau (TTP) et les installations de distribution de l’eau (UDI). Les fichiers recensent les prélèvements et résultats d’analyses réalisés ou mis à jour sur la période concernée. Six fichiers de données sont donc mis à disposition régulièrement. La fréquence de mise à jour est mensuelle, avec un délai d’au moins un mois par rapport aux derniers prélèvements réalisés, et une annualisation des données sera réalisée au cours de l’année N+1. D’autres tables comportant des données de référence sont mises à disposition, en particulier en ce qui concerne les paramètres, dans le fichier 'eaurob-ref'. Elles seront actualisées selon les besoins.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Eau Pleine town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Eau Pleine town, the median income for all workers aged 15 years and older, regardless of work hours, was $47,344 for males and $50,279 for females.

Contrary to expectations, women in Eau Pleine town, women, regardless of work hours, earn a higher income than men, earning 1.06 dollars for every dollar earned by men. This analysis indicates a significant shift in income dynamics favoring females.

- Full-time workers, aged 15 years and older: In Eau Pleine town, among full-time, year-round workers aged 15 years and older, males earned a median income of $56,705, while females earned $51,213, resulting in a 10% gender pay gap among full-time workers. This illustrates that women earn 90 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the town of Eau Pleine town.

Surprisingly, across all roles (including non-full-time employment), women had a higher median income compared to men in Eau Pleine town. This might indicate a more favorable income scenario for female workers across different employment patterns within the town of Eau Pleine town, especially in non-full-time positions.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Eau Pleine town median household income by race. You can refer the same here

LMOS_TraceGas_SurfaceMobile_UWEC-Auto_Data_1 is the Lake Michigan Ozone Study (LMOS) trace gas surface mobile data collected onboard the University of Wisconsin-Eau Claire (UWEC) surface mobile platform during the LMOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA, Electric Power Research Institute (EPRI), National Science Foundation (NSF), Lake Michigan Air Directors Consortium (LADCO) and its member states, and several research groups at universities. Data collection for this product is complete. Elevated spring and summertime ozone levels remain a challenge along the coast of Lake Michigan, with a number of monitors recording levels/amounts exceeding the 2015 National Ambient Air Quality Standards (NAAQS) for ozone. The production of ozone over Lake Michigan, combined with onshore daytime “lake breeze” airflow is believed to increase ozone concentrations at locations within a few kilometers off shore. This observed lake-shore gradient motivated the Lake Michigan Ozone Study (LMOS). Conducted from May through June 2017, the goal of LMOS was to better understand ozone formation and transport around Lake Michigan; in particular, why ozone concentrations are generally highest along the lakeshore and drop off sharply inland and why ozone concentrations peak in rural areas far from major emission sources. LMOS was a collaborative, multi-agency field study that provided extensive observational air quality and meteorology datasets through a combination of airborne, ship, mobile laboratories, and fixed ground-based observational platforms. Chemical transport models (CTMs) and meteorological forecast tools assisted in planning for day-to-day measurement strategies. The long term goals of the LMOS field study were to improve modeled ozone forecasts for this region, better understand ozone formation and transport around Lake Michigan, provide a better understanding of the lakeshore gradient in ozone concentrations (which could influence how the Environmental Protection Agency (EPA) addresses future regional ozone issues), and provide improved knowledge of how emissions influence ozone formation in the region.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Registered charity 1126727; registered company limited by guarantee 6611408 (England and Wales)

This dataset provides information about the number of properties, residents, and average property values for Eddy Lane cross streets in Eau Claire, WI.

Bilan annualisé de consommation de l'eau potable sur Châteauroux Métropole.

Dictionnaire Public Ce jeu de données représente sous la forme d'objets surfaciques le réseau hydrographique de type Fleuve, Ruisseau, Jalle, Canal, Fossé, Lac, Bassin Public, Bassin de rétention, Zone de gravière sur le territoire de Bordeaux Métropole. Il renseigne sur leur dénomination, leur nature (artificiel ou naturel), leur régime (eau permanente ou intermittente) et classe suivant l'importance (principale, moyenne ou faible). Ce jeu de données est disponible dans un format additionnel : Téléchargement au format AutoCAD DWG

In 2024, around 22.74 million women in Germany had used eau de toilette, eau de parfum or perfume in the last seven days. The Allensbach Market and Advertising Media Analysis (Allensbacher Markt- und Werbeträgeranalyse or AWA in German) determines attitudes, consumer habits and media usage of the population in Germany on a broad statistical basis.